Context Window

Compare

GPT Astra Latest vs Jp Anthropic Claude Sonnet 4 6

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Openai

Model

GPT Astra Latest

Image inputTool calling

Context window

1.1M

1,050,000 tokens · ~788K words

Model page
Anthropic

Model

Jp Anthropic Claude Sonnet 4 6

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

GPT Astra Latest1.1M
Jp Anthropic Claude Sonnet 4 61M

GPT Astra Latest has about 1.1× the context window of the other in this pair.

Token calculator →Memory savings →

GPT Astra Latest has 5% more context capacity (1050K vs 1000K tokens). Jp Anthropic Claude Sonnet 4 6 is 67% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT Astra Latest. Its 1050K context fits entire documents without chunking (vs 1000K).

  • RAG / high-volume retrieval

    Use Jp Anthropic Claude Sonnet 4 6. Input tokens are 67% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT Astra Latest. Its 128K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGPT Astra LatestJp Anthropic Claude Sonnet 4 6
Context window1,050,000 tokens (1050K)1,000,000 tokens (1000K)
Max output tokens128,000 tokens (128K)64,000 tokens (64K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoYes
Release dateSep 2026N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderGPT Astra Latest inGPT Astra Latest outJp Anthropic Claude Sonnet 4 6 inJp Anthropic Claude Sonnet 4 6 out
Aws Bedrock——$3.30/M$16.50/M
Openrouter$10.00/M$50.00/M——

Frequently asked questions

GPT Astra Latest has a larger context window: 1050K tokens vs 1000K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model